CN117093662B - Rail transit digital-analog fusion method, system and storage medium - Google Patents
Rail transit digital-analog fusion method, system and storage medium Download PDFInfo
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Abstract
The invention provides a rail transit digital-analog fusion method, a system and a storage medium, which relate to the technical field of traffic control, wherein the rail transit digital-analog fusion method comprises the following steps: acquiring GIS data, ioT data and BIM model data; light BIM model data, and BIM tile data are generated; carrying out space layer release on GIS data to generate space layer service; performing REST release on the IoT data to generate REST services; three-dimensional release is carried out on BIM tile data, and three-dimensional tile service is generated; respectively loading coding information of space layer service, REST service and three-dimensional tile service; generating space association data by mapping the coding information of the associated space layer service and the coding information of the three-dimensional tile service through table association; and generating digital-analog fusion data by mapping the coding information of the associated REST service and the space associated data. The invention can realize the digital fusion of the cross-platform multidimensional data and the model data of the rail transit, simplify the steps, improve the hooking speed and improve the efficiency.
Description
Technical Field
The invention relates to the technical field of traffic control, in particular to a rail transit digital-analog fusion method, a rail transit digital-analog fusion system and a storage medium.
Background
The intelligent traffic control means that the information sensing of all elements is carried out on the infrastructure of the rail traffic through the technical means of a Geographic Information System (GIS), an internet of things (IoT) and a Building Information Model (BIM), and then the information of the rail traffic is integrated and processed through various modes such as data storage, transmission, visualization and the like based on the requirements of actual services.
Before integrated processing is carried out on information of the track traffic, the information of the infrastructure of the track traffic is required to be digitalized, in the prior art, the digitalization is mainly completed manually, the information of the infrastructure is subjected to light weight processing on client software manually, then a structural tree obtained after the light weight processing is copied by a file mode to be aligned and hung manually, each step needs to be manually participated, the digitalization process is tedious and slow, the automation degree is low, and the information of the infrastructure of the track traffic is low in digitalization efficiency.
Disclosure of Invention
The invention solves the problem of how to improve the efficiency of the digitization of infrastructure information of rail transit.
In order to solve the above problems, in a first aspect, the present invention provides a digital-analog fusion method for rail transit, including:
acquiring GIS data, ioT data and BIM model data;
light-weight the BIM model data to generate BIM tile data;
performing space layer release on the GIS data to generate space layer service;
performing REST release on the IoT data to generate REST services;
three-dimensional release is carried out on the BIM tile data, and three-dimensional tile service is generated;
loading coding information of the space layer service, the REST service and the three-dimensional tile service respectively;
the coding information of the space layer service and the coding information of the three-dimensional tile service are associated through table association mapping, and space association data are generated;
and generating digital-analog fusion data by associating the coding information of the REST service and the space association data through table association mapping.
Optionally, the generating digital-analog fusion data by associating the coding information of the REST service and the spatial association data through table association mapping includes:
matching the space association data with the association field of the REST service by adopting field mapping;
generating an association rule according to the association field, and acquiring a storage structure of the spatial association data;
and writing the coding information of the REST service into a storage structure of the space association data through the table association mapping according to the association rule, and generating the digital-analog fusion data.
Optionally, the generating digital-analog fusion data by associating the coding information of the REST service and the spatial association data through table association mapping includes:
matching the space association data with the association field of the REST service by adopting field mapping;
generating an association rule according to the association field, and acquiring coding information of the spatial association data;
and writing the coding information of the space association data into the REST service through the table association mapping according to the association rule, and generating the digital-analog fusion data.
Optionally, the light-weighting the BIM model data, generating BIM tile data, includes:
uploading the BIM model data to a BIM engine;
acquiring light parameters of the BIM engine and generating a parameter template;
and analyzing the BIM model data through the BIM engine according to the parameter template to generate the BIM tile data.
Optionally, the acquiring GIS data, ioT data, and BIM model data includes:
acquiring GIS original data, ioT original data and BIM original data;
preprocessing the GIS raw data, the IoT raw data, and the BIM raw data, generating the GIS data, the IoT data, and the BIM model data.
Optionally, the preprocessing the GIS raw data, the IoT raw data, and the BIM raw data to generate the GIS data, the IoT data, and the BIM model data includes:
unifying coordinate systems of the GIS original data, the IoT original data and the BIM original data by adopting a coordinate unification conversion function to generate GIS unified data, ioT unified data and BIM unified data;
and unifying the GIS unified data, the IoT unified data and the primary keys of the elements of the BIM unified data by adopting a UUID technology, and generating the GIS data, the IoT data and the BIM model data.
Optionally, the obtaining the lightweight parameters of the BIM engine and generating the parameter template includes:
acquiring original point and view parameters, precision parameters, small object eliminating parameters and component tree attribute extracting parameters;
setting LOD layer number parameters according to an LOD mode;
and respectively matching templates of the origin and view parameters, the precision parameters, the small object eliminating parameters, the component tree attribute extracting parameters and the LOD layer number parameters to generate the parameter templates.
Optionally, the generating, by the BIM engine, the BIM tile data according to the parameter template, includes:
analyzing the BIM model data according to the parameter template to generate BIM analysis data;
establishing an index according to the BIM analysis data to generate BIM index data;
and serializing the BIM index data through the BIM engine to generate the BIM tile data.
In a second aspect, the present invention provides a rail transit digital-analog fusion system, comprising:
the acquisition module is used for acquiring GIS data, ioT data and BIM model data;
the light weight module is used for light weight of the BIM model data and generating BIM tile data;
the space release module is used for releasing the GIS data in a space layer and generating space layer service;
the REST release module is used for carrying out REST release on the IoT data to generate REST service;
the three-dimensional release module is used for carrying out three-dimensional release on the BIM tile data to generate three-dimensional tile service;
the loading module is used for loading the coding information of the space layer service, the REST service and the three-dimensional tile service respectively;
the space association module is used for associating the coding information of the space layer service with the coding information of the three-dimensional tile service through table association mapping to generate space association data;
and the digital-analog fusion module is used for generating digital-analog fusion data by mapping and associating the coding information of the REST service and the space association data through table association.
In a third aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a rail transit digital-to-analog fusion method as described above.
The track traffic digital-analog fusion method, the system and the storage medium have the beneficial effects that:
firstly, BIM model data such as GIS data of a rail transit geographic information system, ioT data collected by the technology of the Internet of things and a building information model can be obtained, and BIM model data are light in weight, so that concise BIM tile data are generated, the data volume and complexity of the BIM model data can be reduced, and the data volume required to be transmitted and loaded can be reduced by using the BIM tile data, so that the efficiency of data transmission and loading is improved; secondly, respectively issuing the GIS data, the IoT data and the BIM tile data to serve, so that the GIS data, the IoT data and the BIM tile data can be loaded in the forms of space layer service, REST service and three-dimensional tile service, sharing and interaction among the data are facilitated, and fundamental support of digital-analog fusion is provided for subsequent steps; and then, adopting table association mapping to fuse the coding information of the space layer service with the coding information of the three-dimensional tile service, namely, associating the coding attributes of the GIS data and the BIM tile data to generate space association data with each element of the GIS data and the BIM tile data, and finally, carrying out association fusion on the coding information of the REST service and the space association data to generate digital-analog fusion data to complete automatic digital-analog fusion. The invention can realize the digitization fusion of the rail transit cross-platform multidimensional data and the model data, simplify the digitization step, improve the hooking speed and improve the efficiency of the rail transit infrastructure information digitization as a whole.
Drawings
FIG. 1 is a schematic flow chart of a digital-analog fusion method for rail transit according to an embodiment of the invention;
fig. 2 is a schematic structural diagram of a digital-analog fusion system for rail transit according to an embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. While the invention is susceptible of embodiment in the drawings, it is to be understood that the invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided to provide a more thorough and complete understanding of the invention. It should be understood that the drawings and embodiments of the invention are for illustration purposes only and are not intended to limit the scope of the present invention.
It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments"; the term "optionally" means "alternative embodiments". Related definitions of other terms will be given in the description below. It should be noted that the terms "first," "second," and the like herein are merely used for distinguishing between different devices, modules, or units and not for limiting the order or interdependence of the functions performed by such devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those skilled in the art will appreciate that "one or more" is intended to be construed as "one or more" unless the context clearly indicates otherwise. The terms "first," "second," and the like in this disclosure are used merely to distinguish between different devices, systems, or units and are not intended to limit the order or interdependence of functions performed by the devices, systems, or units.
To solve the above problem, in one embodiment, as shown in fig. 1, the present invention provides a rail transit digital-analog fusion method, including:
step S1, GIS data, ioT data and BIM model data are obtained.
The digital-analog fusion method of the rail transit is to fuse the data and the model of the rail transit infrastructure information, uniformly display all the rail transit infrastructure information, and digitize the infrastructure information of the rail transit. Infrastructure information of rail transit, namely GIS data acquired through a geographic information system, ioT data acquired through the internet of things technology and BIM model data acquired through a building information model, is acquired. The GIS data comprises station data, line data and electromechanical data, and the data types comprise shp files, geojson files, excel files and cad drawings; ioT data includes video monitoring data, sensor data, and other IoT data; BIM model data comprises station data, line data and electromechanical data, and the data types comprise Rvt files, IFC files and DNG files. For example, the data may be acquired by using a Rest service request or an offline access manner, the GIS data and BIM model data may be acquired by using an offline manner, and the IoT data may be acquired by using an online Rest service request.
S2, light-weighting the BIM model data to generate BIM tile data;
specifically, the data transmission and loading efficiency can be improved by light-weighting BIM model data, wherein the tile data are data obtained by dividing a large BIM model into small blocks, and each tile only contains geometric information and attribute data of a specific area. By using tile data, the amount of data that needs to be transmitted and loaded can be reduced, thereby improving the efficiency of data transmission and loading. The visualization and interaction experience can be improved, tile data can be dynamically loaded according to the view angle and the requirements of users, and the visualization and interaction operation is smoother and more responsive. The user can quickly browse and navigate the model and perform zooming, rotating, selecting and the like without causing performance degradation due to excessive data volume. The tile data can be optimized according to the processing capacity of the device and the network bandwidth so as to adapt to different devices and network environments. For mobile devices or low bandwidth networks, smaller tile data may be loaded to provide a better user experience. Distributed collaboration and sharing may also be supported by generating tile data, which may divide the BIM model into multiple independent tiles so that multiple users may access and edit different tiles simultaneously, thereby supporting distributed collaboration and sharing. This is very beneficial for team collaboration, project management and decision support. In addition, the storage cost can be reduced, the data volume of the BIM model can be reduced to a reasonable range by the tile data, so that the storage cost is reduced, and compared with the storage of the data of the whole BIM model, a large amount of storage space can be saved by only storing the tile data.
Step S3, the GIS data is issued in a space layer, and space layer service is generated;
specifically, the GIS data is issued in a space layer through the GIS engine to form a space layer service conforming to the OGC standard, the data can be shared and cooperated, the data is shared to other platforms in the form of the space layer, and the space layers are loaded and used by other platforms to realize the sharing and the cooperation of the data.
Step S4, performing REST release on the IoT data to generate REST service;
specifically, REST publishing refers to deploying IoT data onto an accessible server so that other applications or users can access and use the service through the HTTP protocol, data access and interaction can be achieved by REST publishing the IoT data, the user can access and interact the IoT data through the HTTP protocol by providing a standard interface and protocol, the user can use various programming languages and tools, and the user can obtain, update, delete and add the IoT data by sending HTTP requests.
Step S5, three-dimensional release is carried out on the BIM tile data, and three-dimensional tile service is generated;
specifically, by three-dimensionally publishing BIM tile data, the generated three-dimensional tile service can be used on a plurality of platforms and displayed in a visual mode, real-time interaction is supported, data sharing and collaboration are realized, and foundation support is made for subsequent digital-analog fusion.
Step S6, coding information of the space layer service, the REST service and the three-dimensional tile service is loaded respectively;
specifically, after the GIS data, ioT data, and BIM tile data are respectively published, the coding information, and coding attributes of the spatial layer service, REST service, and three-dimensional tile service may be loaded on the web platform for digital-to-analog fusion.
Step S7, the coding information of the space layer service and the coding information of the three-dimensional tile service are associated through table association mapping, and space association data are generated;
specifically, table association mapping refers to that in a relational database, a plurality of tables are connected by defining relationships among the tables, so as to realize association and inquiry of data. Through a table association mapping technology, carrying out association fusion on coding information of the space layer service and coding information, namely coding attribute, of the three-dimensional tile service to generate space association data with each element of GIS data and BIM tile data
And S8, generating digital-analog fusion data by mapping and associating the coding information of the REST service and the space association data through a table.
Specifically, coding information and space association data of the REST service are mapped and associated through table association, digital-analog fusion data are generated, the digital-analog fusion data are loaded into a visualization engine, access of multi-source heterogeneous data is achieved, meanwhile, data stored by different platforms can be loaded, and the multi-dimensional space infrastructure data of the rail transit can be managed more conveniently in a full life cycle by means of fast hooking during digital-analog fusion. After the module fusion data is loaded into the visualization engine, quick scaling, positioning and retrieval can be performed through different scale levels and logic trees, and different IoT type data can be distinguished through different labels, so that a three-dimensional scene of rail transit can be displayed more intuitively, better performance support is provided for loading, analyzing and calculating massive three-dimensional data, larger-scale city level data support can be realized for a combined application system, and a foundation is laid for intelligent transportation.
Optionally, the generating digital-analog fusion data by associating the coding information of the REST service and the spatial association data through table association mapping includes:
matching the space association data with the association field of the REST service by adopting field mapping;
generating an association rule according to the association field, and acquiring a storage structure of the spatial association data;
and writing the coding information of the REST service into a storage structure of the space association data through the table association mapping according to the association rule, and generating the digital-analog fusion data.
Specifically, field mapping is the process of mapping a field in one data model to a corresponding field in another data model. The purpose of field mapping is to convert the value of the source field to the value of the destination field and ensure accuracy and consistency of the data. The association field is a field common to two data sources, such as a unique identifier of a point location or position information, etc., then an association rule is determined according to the actual association field, that is, how to associate the coded ID of the REST service with the spatial association data, and according to the association rule, the coded information of the REST service, that is, the coded ID, is written into a storage structure of the spatial association data through table association mapping, so as to generate final digital-analog fusion data.
For example, the automation code may be used to write the encoded ID into the storage structure of the spatially correlated data, or may be used manually to write the encoded ID into the storage structure of the spatially correlated data, depending on the actual situation.
Optionally, the generating digital-analog fusion data by associating the coding information of the REST service and the spatial association data through table association mapping includes:
matching the space association data with the association field of the REST service by adopting field mapping;
generating an association rule according to the association field, and acquiring coding information of the spatial association data;
and writing the coding information of the space association data into the REST service through the table association mapping according to the association rule, and generating the digital-analog fusion data.
Specifically, the association field is a field common to two data sources, such as a unique identifier of a point location or location information, etc., then an association rule is determined according to the actual association field, that is, how to associate the coded ID of the REST service with the spatial association data, and in the table association mapping according to the association rule, the coded information of the spatial association data, that is, the coded ID, is written into the REST service, for example, the coded ID is written into a service table of IoT data, so as to generate final digital-analog fusion data.
For example, the automation code may be used to write the encoded information of the spatial association data into the REST service, or the manual work may be used to write the encoded information of the spatial association data into the REST service according to the actual situation.
Optionally, the light-weighting the BIM model data, generating BIM tile data, includes:
uploading the BIM model data to a BIM engine;
acquiring light parameters of the BIM engine and generating a parameter template;
and analyzing the BIM model data through the BIM engine according to the parameter template to generate the BIM tile data.
Specifically, the BIM engine performs light BIM model data operation, firstly sets light parameters of the BIM engine to obtain a parameter template, and automatically reads the light parameters according to the parameter template and performs light analysis to generate BIM tile data.
Optionally, the acquiring GIS data, ioT data, and BIM model data includes:
acquiring GIS original data, ioT original data and BIM original data;
preprocessing the GIS raw data, the IoT raw data, and the BIM raw data, generating the GIS data, the IoT data, and the BIM model data.
Specifically, the GIS raw data, the IoT raw data, and the BIM raw data may be obtained through different platforms or devices, and the GIS raw data, the IoT raw data, and the BIM raw data may be preprocessed to obtain standardized GIS data, ioT data, and BIM model data.
Optionally, the preprocessing the GIS raw data, the IoT raw data, and the BIM raw data to generate the GIS data, the IoT data, and the BIM model data includes:
unifying coordinate systems of the GIS original data, the IoT original data and the BIM original data by adopting a coordinate unification conversion function to generate GIS unified data, ioT unified data and BIM unified data;
and unifying the GIS unified data, the IoT unified data and the primary keys of the elements of the BIM unified data by adopting a UUID technology, and generating the GIS data, the IoT data and the BIM model data.
Specifically, the GIS original data with longitude and latitude, the IoT original data and the BIM original data are subjected to coordinate transformation through a coordinate unified transformation function to realize coordinate transformation among WGS-84, GCJ-02 and local independent coordinates, and each coordinate system is transformed into a projection coordinate system under CGS2000, wherein CGS2000 is a geodetic coordinate system formulated by China national surveying and mapping office, and is totally called as China geodetic coordinate system 2000 edition. The system is one of the common earth coordinate systems in China and is used for coordinate representation in the fields of mapping and geographic information; UUID technology is an abbreviation of universal unique identification code (Universally Unique Identifier), is a standard for software construction, and aims to enable all elements in a distributed system to have unique identification information, and is commonly used for unique identification in the distributed system, and can be used as a primary key, a file name, a message identification and the like in a database table. And unifying the main keys of each element of the GIS unified data, the IoT unified data and the BIM unified data by adopting a UUID technology, setting the main keys as 36-bit character string types, and using 36-byte character strings to represent the elements of the GIS unified data, the IoT unified data and the BIM unified data to generate GIS data, the IoT data and BIM model data.
Optionally, the obtaining the lightweight parameters of the BIM engine and generating the parameter template includes:
acquiring original point and view parameters, precision parameters, small object eliminating parameters and component tree attribute extracting parameters;
setting LOD layer number parameters according to an LOD mode;
and respectively matching templates of the origin and view parameters, the precision parameters, the small object eliminating parameters, the component tree attribute extracting parameters and the LOD layer number parameters to generate the parameter templates.
Specifically, uploading BIM data to a BIM engine, setting an origin and view parameters, setting LOD layer number parameters, automatically setting LOD layer number parameters or custom LOD layer number parameters in a selectable LOD mode, and extracting LOD different-level models and attributes; setting model precision parameters, and selecting different levels such as quality priority, balance, performance priority and the like according to actual conditions; setting small object eliminating parameters, and eliminating filtering when the small object is smaller than a specified pixel in light analysis; setting component tree attribute extraction parameters, and selecting an attribute set to be filtered so as to extract a waiting and deployment attribute; and aiming at the parameter setting, carrying out template configuration to generate parameter templates with different requirements.
Optionally, the generating, by the BIM engine, the BIM tile data according to the parameter template, includes:
analyzing the BIM model data according to the parameter template to generate BIM analysis data;
establishing an index according to the BIM analysis data to generate BIM index data;
and serializing the BIM index data through the BIM engine to generate the BIM tile data.
Specifically, after the BIM engine automatically reads the light weight parameters according to the parameter templates and performs light weight analysis, the BIM engine needs to establish an index according to BIM analysis data, serialize BIM index data and finally generate BIM tile data, thereby realizing the functions of quick search and query, data filtering and screening, data association and analysis, data visualization and display and data sharing and collaboration.
In another embodiment, as shown in fig. 2, the present invention provides a rail transit digital-analog fusion system, comprising:
the acquisition module is used for acquiring GIS data, ioT data and BIM model data;
the light weight module is used for light weight of the BIM model data and generating BIM tile data;
the space release module is used for releasing the GIS data in a space layer and generating space layer service;
the REST release module is used for carrying out REST release on the IoT data to generate REST service;
the three-dimensional release module is used for carrying out three-dimensional release on the BIM tile data to generate three-dimensional tile service;
the loading module is used for loading the coding information of the space layer service, the REST service and the three-dimensional tile service respectively;
the space association module is used for associating the coding information of the space layer service with the coding information of the three-dimensional tile service through table association mapping to generate space association data;
and the digital-analog fusion module is used for generating digital-analog fusion data by mapping and associating the coding information of the REST service and the space association data through table association.
In a third aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a rail transit digital-to-analog fusion method as described above.
Although the invention is disclosed above, the scope of the invention is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications will fall within the scope of the invention.
Claims (6)
1. The rail transit digital-analog fusion method is characterized by comprising the following steps of:
acquiring GIS data, ioT data and BIM model data;
light-weight the BIM model data to generate BIM tile data;
performing space layer release on the GIS data to generate space layer service;
performing REST release on the IoT data to generate REST services;
three-dimensional release is carried out on the BIM tile data, and three-dimensional tile service is generated;
loading coding information of the space layer service, the REST service and the three-dimensional tile service respectively;
the coding information of the space layer service and the coding information of the three-dimensional tile service are associated through table association mapping, and space association data are generated;
the coding information of the REST service and the space association data are associated through table association mapping, digital-analog fusion data are generated, and the digital-analog fusion data are loaded into a visualization engine;
the generation of the digital-analog fusion data by associating the coding information of the REST service and the space association data through the table association mapping comprises the following steps:
matching the space association data with the association field of the REST service by adopting field mapping;
generating an association rule according to the association field, and acquiring a storage structure of the spatial association data;
according to the association rule, writing the coding information of the REST service into a storage structure of the space association data through the table association mapping to generate the digital-analog fusion data;
the generation of the digital-analog fusion data by associating the coding information of the REST service and the space association data through the table association mapping comprises the following steps:
matching the space association data with the association field of the REST service by adopting field mapping;
generating an association rule according to the association field, and acquiring coding information of the spatial association data;
according to the association rule, coding information of the space association data is written into the REST service through the table association mapping, and the digital-analog fusion data is generated;
the acquiring GIS data, ioT data, and BIM model data includes:
acquiring GIS original data, ioT original data and BIM original data;
preprocessing the GIS raw data, the IoT raw data, and the BIM raw data to generate the GIS data, the IoT data, and the BIM model data;
the preprocessing the GIS raw data, the IoT raw data, and the BIM raw data, generating the GIS data, the IoT data, and the BIM model data, comprising:
unifying coordinate systems of the GIS original data, the IoT original data and the BIM original data by adopting a coordinate unification conversion function to generate GIS unified data, ioT unified data and BIM unified data;
and unifying the GIS unified data, the IoT unified data and the primary keys of the elements of the BIM unified data by adopting a UUID technology, and generating the GIS data, the IoT data and the BIM model data.
2. The rail transit digital-to-analog fusion method of claim 1, wherein the lightweight of the BIM model data generates BIM tile data, comprising:
uploading the BIM model data to a BIM engine;
acquiring light parameters of the BIM engine and generating a parameter template;
and analyzing the BIM model data through the BIM engine according to the parameter template to generate the BIM tile data.
3. The method of rail transit digital-to-analog fusion according to claim 2, wherein the obtaining the lightweight parameters of the BIM engine and generating the parameter template comprises:
acquiring original point and view parameters, precision parameters, small object eliminating parameters and component tree attribute extracting parameters;
setting LOD layer number parameters according to an LOD mode;
and respectively matching templates of the origin and view parameters, the precision parameters, the small object eliminating parameters, the component tree attribute extracting parameters and the LOD layer number parameters to generate the parameter templates.
4. The method of rail transit digital-to-analog fusion according to claim 2, wherein the parsing the BIM model data by the BIM engine according to the parameter template, generating the BIM tile data, comprises:
analyzing the BIM model data according to the parameter template to generate BIM analysis data;
establishing an index according to the BIM analysis data to generate BIM index data;
and serializing the BIM index data through the BIM engine to generate the BIM tile data.
5. A rail transit digital-to-analog fusion system, comprising:
the acquisition module is used for acquiring GIS data, ioT data and BIM model data;
the light weight module is used for light weight of the BIM model data and generating BIM tile data;
the space release module is used for releasing the GIS data in a space layer and generating space layer service;
the REST release module is used for carrying out REST release on the IoT data to generate REST service;
the three-dimensional release module is used for carrying out three-dimensional release on the BIM tile data to generate three-dimensional tile service;
the loading module is used for loading the coding information of the space layer service, the REST service and the three-dimensional tile service respectively;
the space association module is used for associating the coding information of the space layer service with the coding information of the three-dimensional tile service through table association mapping to generate space association data;
the digital-analog fusion module is used for generating digital-analog fusion data by mapping and associating the coding information of the REST service and the space association data through table association, and loading the digital-analog fusion data into a visualization engine;
the generation of the digital-analog fusion data by associating the coding information of the REST service and the space association data through the table association mapping comprises the following steps:
matching the space association data with the association field of the REST service by adopting field mapping;
generating an association rule according to the association field, and acquiring a storage structure of the spatial association data;
according to the association rule, writing the coding information of the REST service into a storage structure of the space association data through the table association mapping to generate the digital-analog fusion data;
the generation of the digital-analog fusion data by associating the coding information of the REST service and the space association data through the table association mapping comprises the following steps:
matching the space association data with the association field of the REST service by adopting field mapping;
generating an association rule according to the association field, and acquiring coding information of the spatial association data;
according to the association rule, coding information of the space association data is written into the REST service through the table association mapping, and the digital-analog fusion data is generated;
the acquiring GIS data, ioT data, and BIM model data includes:
acquiring GIS original data, ioT original data and BIM original data;
preprocessing the GIS raw data, the IoT raw data, and the BIM raw data to generate the GIS data, the IoT data, and the BIM model data;
the preprocessing the GIS raw data, the IoT raw data, and the BIM raw data, generating the GIS data, the IoT data, and the BIM model data, comprising:
unifying coordinate systems of the GIS original data, the IoT original data and the BIM original data by adopting a coordinate unification conversion function to generate GIS unified data, ioT unified data and BIM unified data;
and unifying the GIS unified data, the IoT unified data and the primary keys of the elements of the BIM unified data by adopting a UUID technology, and generating the GIS data, the IoT data and the BIM model data.
6. A computer readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, implements the rail transit digital-to-analog fusion method according to any one of claims 1 to 4.
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